San Francisco, Calif. – Sep 13, 2016 – Clustrix, provider of the first scale-out database designed for the elastic scaling requirements of high-transaction, high-value workloads of today’s Web applications, announced the availability of version 8.0 of its software. Designed to help customers meet the challenge of explosive growth in transactional workloads, the new version combines in-memory processing, containerization and encryption to improve performance, ease-of-use and security.

Rising mobile usage strains database infrastructure

More and more consumers are accessing websites and transacting while on-the-go, with mobile usage now overtaking the desktop 51 to 42 percent (1). Almost half of all consumers now expect a web page to load in two seconds or less, and 27 percent of cart abandonment occurs due to time constraints (2). These high expectations, coupled with high-transaction high-value workloads, are placing unprecedented demands on database infrastructures. In a recent survey, Analyst firm ESG noted database growth in excess of 40 percent per year, with nearly half of respondents citing increases in transactional workloads as a database challenge leading to performance concerns (3).

“Even the best technology companies aren’t immune to these challenges, as illustrated by high-profile snafus like the Pokemon Go launch and Amazon Prime Day,” said Mike Azevedo, CEO, Clustrix. “ClustrixDB 8.0 addresses the double whammy that companies face: increasing customer expectations for performance, and over-taxed infrastructure.”

In a recent report on In-Memory Computing (IMC) (4), Gartner recommends that companies “Carefully consider the advantages of having an embedded IMC capability in terms of savings for specific skills and associated costs, particularly in IMDG, event stream processing and IMDBMS deployments, and identify opportunities for incremental business improvements (for example, in performance or scalability).”

In-memory processing gives three-times performance boost

ClustrixDB now provides even faster performance, combining the speed of NoSQL with the relational benefits of SQL for: